Real-time measurement of grid connected solar panels based on wireless sensors network

Syafii, M. Rusydi, R. Putra, Muhammad Hadi Putra
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引用次数: 15

Abstract

The paper presents real-time measurement of grid connected photovoltaic system using Zigbee sensors networks. The measurements were performed using sensors that chosen based on their simplicity and lower price. The weather parameters were measured using OPT101 photodiode for irradiance sensors and DHT22 for temperature and humidity sensors. While low cost ACS 712 5A current sensor and Arduino voltage sensor modules were used to measure PV output current and voltage. The 1.25 kWp grid connected PV system were used to test the real-time measurement system. The data received exactly same as sensed data that sent from remote area with time delay around 3 to 4 seconds. The solar panels in average have produced power twelve hours per day for clear sky, however for raining, overcast and cloud covered sky, PV power decreased and grid disconnected earlier before sunset and the PV power curve show an irregular profile. Experimental results demonstrate that real-time PV data can be recorded using Zigbee sensors network. This information can be used as a further reference for performance and energy saving analysis of PV system installed in West Sumatera.
基于无线传感器网络的并网太阳能板实时测量
介绍了利用Zigbee传感器网络对并网光伏系统进行实时测量的方法。测量使用基于其简单性和较低价格的传感器进行。天气参数测量采用OPT101光电二极管作为辐照度传感器,DHT22作为温度和湿度传感器。采用低成本的ACS 712 5A电流传感器和Arduino电压传感器模块测量光伏输出电流和电压。采用1.25 kWp并网光伏系统对实时测量系统进行测试。接收到的数据与远程发送的感测数据完全相同,时间延迟约为3至4秒。晴空条件下,太阳能电池板平均每天发电12小时,但在阴天、阴天和阴天,光伏发电功率下降,日落前提前断网,光伏发电曲线呈不规则曲线。实验结果表明,利用Zigbee传感器网络可以实时记录光伏数据。这些信息可以作为西苏门答腊光伏系统性能和节能分析的进一步参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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